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עמוד בית
Fri, 05.12.25

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January 2020
Gilad Yahalom MD, Ziv Yekutieli PhD, Simon Israeli-Korn MD PhD, Sandra Elincx-Benizri MD, Vered Livneh MD, Tsviya Fay-Karmon MD, Keren Tchelet BSc, Yarin Rubel BSc and Sharon Hassin-Baer MD

Background: There is a need for standardized and objective methods to measure postural instability (PI) and gait dysfunction in Parkinson's disease (PD) patients. Recent technological advances in wearable devices, including standard smartphones, may provide such measurements.

Objectives: To test the feasibility of smartphones to detect PI during the Timed Up and Go (TUG) test.

Methods: Ambulatory PD patients, divided by item 30 (postural stability) of the motor Unified Parkinson's Disease Rating Scale (UPDRS) to those with a normal (score = 0, PD-NPT) and an abnormal (score ≥ 1, PD-APT) test and a group of healthy controls (HC) performed a 10-meter TUG while motion sensor data was recorded from a smartphone attached to their sternum using the EncephaLog application.

Results: In this observational study, 44 PD patients (21 PD-NPT and 23 PD-APT) and 22 HC similar in age and gender distribution were assessed. PD-APT differed significantly in all gait parameters when compared to PD-NPT and HC. Significant difference between PD-NPT and HC included only turning time (P < 0.006) and step-to-step correlation (P < 0.05).

Conclusions: While high correlations were found between EncephaLog gait parameters and axial UPDRS items, the pull test was least correlated with EncephaLog measures. Motion sensor data from a smartphone can detect differences in gait and balance measures between PD with and without PI and HC.

 

November 2010
S.D Israeli-Korn, Y. Schwammenthal, T. Yonash-Kimchi, M. Bakon, R. Tsabari, D. Orion, B. Bruk, N. Molshatzki, O. Merzeliak, J. Chapman and D. Tanne

Background: Multiple case series, mostly highly selected, have demonstrated a very high mortality following acute basilar artery occlusion. The more widespread availability and use of non-invasive vascular imaging over recent years has increased the rate of ABAO[1] diagnosis.

Objectives: To estimate the proportion of diagnosed ABAO among all-cause ischemic stroke in an era of increasing use of non-invasive vascular imaging and to compare the characteristics and outcomes between these two groups.

Methods: We compared 27 consecutive cases of ABAO identified in a university hospital between 2003 and 2007 to 311 unselected cases of ischemic stroke from two 4 month surveys.

Results: ABAO diagnosis increased from 0.3% of all-cause ischemic stroke (2003–2004) to 1.1% (2007), reflecting the increased use of non-invasive vascular imaging. In comparison to all-cause ischemic stroke, ABAO patients were younger (mean age 60 vs. 71 years), were more likely to be male (89% vs. 60%), had less atrial fibrillation (7% vs. 26%), more severe strokes (baseline NIHSS over 20: 52% vs. 12%), higher admission white cell count (12,000 vs. 9000 cells/mm3) lower admission systolic blood pressure (140 ± 24 vs. 153 ± 27 mmHg), higher in-hospital mortality rates (30% vs. 8%) and worse functional outcome (modified Rankin scale ≤ 3, 22% vs. 56%) (P < 0.05 for all). Rates of reperfusion therapy for ABAO increased from 0 in 2003–2004 to 60% in 2007.

Conclusions: In this study, ABAO patients represented approximately 1% of all-cause ischemic stroke and were about a decade younger than patients with all-cause ischemic stroke. We report a lower ABAO mortality compared to previous more selected case series; however, most survivors had a poor functional outcome. Given the marked clinical heterogeneity of ABAO, a low threshold for non-invasive vascular imaging with a view to definitive reperfusion treatment is needed.






[1] ABAO = acute basilar artery occlusion


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